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Hi,
I have a sample data set underneath and is trying to get an aggregated average for September. When using a column chart the percentage is correct when I go down to each specific day. But when I drill up to the month the average percentage is wrong. When I go up to the monthly level it shows 7,37% instead of 10,33%. This is of course since PBI just averages the Abandon % per row level.
How can I create a calculation for Abandoned % so that PBI aggregates this correctly on both Yearly, Monthly and Daily level when drilling up and down in eg a Bar chart?
DAY Total Calls Abandoned Calls Abandoned %
2017-09-22 00:00:00.000 80 4 5,00 %
2017-09-21 00:00:00.000 420 56 13,33 %
2017-09-20 00:00:00.000 510 78 15,29 %
2017-09-19 00:00:00.000 458 94 20,52 %
2017-09-18 00:00:00.000 219 9 4,11 %
2017-09-15 00:00:00.000 207 13 6,28 %
2017-09-14 00:00:00.000 251 25 9,96 %
2017-09-13 00:00:00.000 235 14 5,96 %
2017-09-12 00:00:00.000 199 11 5,53 %
2017-09-11 00:00:00.000 158 23 14,56 %
2017-09-08 00:00:00.000 100 9 9,00 %
2017-09-07 00:00:00.000 83 0 0,00 %
2017-09-06 00:00:00.000 106 4 3,77 %
2017-09-05 00:00:00.000 94 3 3,19 %
2017-09-04 00:00:00.000 136 2 1,47 %
2017-09-01 00:00:00.000 83 0 0,00 %
3339 345 7,37 %
Correct Monthly % 10,33 %
Wrong PBI Monthly % 7,37 %
Solved! Go to Solution.
Create an Abandoned % in Dax
Below is the DAX formula
Abandoned % = DIVIDE ( SUM ( Table1[Abandoned Calls] ), SUM ( Table1[Total Calls] ), 0 )
& find the sample file attached here
Regards,
Chetan K
Create an Abandoned % in Dax
Below is the DAX formula
Abandoned % = DIVIDE ( SUM ( Table1[Abandoned Calls] ), SUM ( Table1[Total Calls] ), 0 )
& find the sample file attached here
Regards,
Chetan K
Hi,
Can you show the relationship and measures?
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